Pereira, IvoMadureira, Ana MariaMoura, Paulo Oliveira2013-05-132013-05-132012978-1-4673-4767-9http://hdl.handle.net/10400.22/1556The scheduling problem is considered in complexity theory as a NP-hard combinatorial optimization problem. Meta-heuristics proved to be very useful in the resolution of this class of problems. However, these techniques require parameter tuning which is a very hard task to perform. A Case-based Reasoning module is proposed in order to solve the parameter tuning problem in a Multi-Agent Scheduling System. A computational study is performed in order to evaluate the proposed CBR module performance.engCase-based reasoningLearningMeta-heuristicsParameter tuningSchedulingconference object2013-04-23